School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China; Center for Energy & Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China.
School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China; Center for Energy & Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China.
J Environ Sci (China). 2025 Mar;149:585-597. doi: 10.1016/j.jes.2024.01.051. Epub 2024 Feb 12.
Urban areas' performance in water, energy, infrastructure, and socio-economic sectors is intertwined and measurable through Sustainable Development Goals (SDGs) 6-13. Effective synergy among these is critical for sustainability. This study constructs an indicator framework that reflects progress towards these urban SDGs in China. Findings indicate underperformance in SDGs 8-11, suggesting the need for transformative actions. Through network analysis, the research reveals complementarities among these SDGs. Notably, the SDG space divides into socio-economic and ecological clusters, with SDG 6 (Clean Water and Sanitation) central to both. Additionally, SDG 8 (Decent Work and Economic Growth) and SDG 9 (Industry, Innovation, and Infrastructure) act as bridges, while greater synergies exist between SDG 12 (Responsible Consumption and Production) and SDG 13 (Climate Action). An in-depth view at the indicator-level shows a core-periphery structure, emphasizing indicators like SDG 6.2 (Wastewater Treatment Rate) and SDG 6.6 (Recycled Water Production Capacity per capita) as pivotal. This study confirms the urban SDG space's stability and predictiveness, underscoring its value in steering well-aligned policy decisions for sustainable growth.
城市在水、能源、基础设施和社会经济等领域的表现可以通过可持续发展目标（SDGs）6-13 来衡量和体现。这些目标之间的有效协同对于可持续发展至关重要。本研究构建了一个反映中国城市可持续发展目标进展的指标框架。研究结果表明，SDGs 8-11 的表现不佳，这表明需要采取变革性行动。通过网络分析，研究揭示了这些 SDGs 之间的互补性。值得注意的是，SDG 空间分为社会经济和生态两个集群，SDG 6（清洁水和卫生设施）是这两个集群的核心。此外，SDG 8（体面工作和经济增长）和 SDG 9（产业、创新和基础设施）起到了桥梁作用，而 SDG 12（负责任的消费和生产）和 SDG 13（气候行动）之间存在更大的协同作用。在指标层面的深入观察显示出一种核心-外围结构，强调了 SDG 6.2（污水处理率）和 SDG 6.6（人均再生水产量）等指标的核心地位。本研究证实了城市可持续发展目标空间的稳定性和可预测性，强调了其在引导协调一致的可持续增长政策决策方面的价值。
